A Framework for Prototyping J2EE Replication Algorithms

نویسندگان

  • Özalp Babaoglu
  • Alberto Bartoli
  • Vance Maverick
  • Simon Patarin
  • Jaksa Vuckovic
  • Huaigu Wu
چکیده

In application server systems, such as J2EE, replication is an essential strategy for reliability and efficiency. Many J2EE implementations, both commercial and open-source, provide some replication support. However, the range of possible strategies is wide, and the choice of the best one, depending on the expected application profile, remains an open research question. To support research in this area, we introduce a framework for prototyping J2EE replication algorithms. In effect, it divides replication code into two layers: the framework itself, which is common to all replication algorithms, and a specific replication algorithm, which is “plugged in” to the framework. The division is defined by an API. The framework simplifies development in two ways. First, it keeps much of the complexity of modifying a J2EE implementation within the framework layer, which is implemented only once. Second, through the API, the replication algorithm sees a highly abstracted view of the components in the server. This frees the designer to concentrate on the important issues that are specific to a replication algorithm, such as communication. We have implemented the framework by extending the open-source J2EE server. Compared to an unmodified server, the framework adds a performance cost of about 22%. Thus, it is quite practical for the initial development and evaluation of replication algorithms. Several algorithms have already been implemented within the framework.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Replication-Based Scheduling in Cloud Computing Environment

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...

متن کامل

A Framework for the Efficient Production of Web Applications

To date developers can exploit a wealth of existing languages and tools when designing and implementing web applications; however, comprehensive and automated tools and techniques for producing these applications are still conspicuously lacking. Here we describe a framework for efficient production of web applications, which synergistically integrates techniques for automatic code generation wi...

متن کامل

A Survey of Dynamic Replication Strategies for Improving Response Time in Data Grid Environment

Large-scale data management is a critical problem in a distributed system such as cloud,P2P system, World Wide Web (WWW), and Data Grid. One of the effective solutions is data replicationtechnique, which efficiently reduces the cost of communication and improves the data reliability andresponse time. Various replication methods can be proposed depending on when, where, and howreplicas are gener...

متن کامل

METALA: a J2EE Technology Based Framework for Web Mining

In this paper, we discuss the most important aspects of METALA, a software tool for meta-learning that we have developed to perform inductive learning in a distributed and component based fashion. The distribution comes from the use of a well posed distributed application development standard as is J2EE, and the component basis comes from the methodology we developed to integrate new learning a...

متن کامل

rrecsys: An R-package for Prototyping Recommendation Algorithms

We introduce rrecsys, an open source extension package in R for rapid prototyping and intuitive assessment of recommender system algorithms. As the only currently available R package for recommender algorithms (recommenderlab) did not include popular algorithm implementations such as matrix factorization or One-class Collaborative Filtering algorithms we developed rrecsys as an easily accessibl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004